In today’s digital workplace, HR is more than a service function; it’s the engine of organizational agility. Yet fragmented, IT-centric systems, limited insights into employee needs, and disconnected data models still hold many teams back.

SAP SuccessFactors Enterprise Service Management, purpose-built for HR, helps organizations break through those barriers by connecting AI, trusted data, and intuitive experiences to help transform HR service delivery from reactive support to proactive, human-centered impact.

From helpdesk to human impact

SAP SuccessFactors Enterprise Service Management gives HR teams a unified platform to help manage service requests, automate workflows, and deliver consistent, guided interactions that can build trust and compliance. By anticipating problems instead of reacting to them, HR can operate with speed, transparency, and insight, which enables the entire organization to work more efficiently.

Unlike IT-centric tools that treat employees as tickets, SAP SuccessFactors Enterprise Service Management brings together context, compliance, and connection—enabling HR to create experiences that feel personal, intelligent, and effortless.

AI that works in context

Automation is only as effective as the context behind it. Unlike standalone AI add-ons, Joule, SAP’s AI copilot, can make every interaction faster, smarter, and more human. Employees can ask questions in everyday language and receive contextual answers grounded in verified HR data and policies. HR teams benefit from AI-generated case summaries, pre-built templates, personalized e-mail drafts, intelligent case recommendations, and proactive insights that help reduce manual effort and speed resolution. With agentic AI, the system continuously learns from every interaction, automatically surfacing insights, suggesting next best actions, and driving service accuracy. HR teams don’t just automate tasks; they deliver smarter, compliant, and more personalized support all within a single, secure HR system.

Connected data that powers intelligent decisions

Unlike many platforms that rely on integrations or duplicated data to connect with HR systems, the SAP SuccessFactors portfolio is connected by design. Built on SAP SuccessFactors Employee Central, SAP SuccessFactors Enterprise Service Management can connect every transaction, service case, and policy into a single source of truth for HR. Combined with SAP HANA Cloud and SAP Analytics Cloud in SAP Business Data Cloud, this foundation can turn data into actionable intelligence: surfacing trends, predicting service demand, and improving quality with each interaction.

Experience that feels effortless

A great HR service experience isn’t just fast—it feels easy. SAP SuccessFactors Work Zone serves as the digital front door for SAP SuccessFactors Enterprise Service Management, SAP SuccessFactors Employee Central, and Joule. Employees can find answers, submit requests, and collaborate in the flow of work. Guided experiences and AI-powered knowledge searches can reduce case volume, while seamless integration with SAP Build Process Automation allows HR to extend workflows quickly without IT dependency or external tools.

Customer impact in action

Across industries, SAP customers are replacing fragmented, IT-led tools with a purpose-built HR service platform, creating measurable gains in employee satisfaction and HR efficiency.

• “By moving to next-generation service requests with [SAP SuccessFactors] Enterprise Service Management, we’ve streamlined complex processes like 401(k) transfers and dramatically improved speed, compliance, and employee confidence.”  – SAP customer, Technology
• “Employees start in [SAP SuccessFactors] Work Zone with Joule, search knowledge first, and only create a case when needed. That reduces case volume and service rep workload.” – SAP customer, Consumer Goods
• “We’re designing for consistency—using targeted forms aligned to service categories. Data duplication is minimized while the People Profile serves as the single source of truth.” – SAP customer, Manufacturing
• “Our front door is multi-channel—e-mail, phone, and Teams chat—all anchored in the HR knowledge base with smart routing to the right teams.” – SAP customer, Aviation
• “One feature that truly stood out for us was the timeline. Finding information in our old system used to be a challenge, but with [SAP SuccessFactors] Enterprise Service Management, the timeline view has been a game changer. It gives our teams instant visibility into every interaction and drives new levels of efficiency and clarity. – SAP customer, Banking
• “The guided steps for HR service representatives have transformed how our team works. Instead of navigating complex processes, they now follow clear, intuitive paths that ensure every case is handled consistently and efficiently. It’s like having an intelligent assistant built right into the workflow.” – SAP customer, Telecommunications
• “The [SAP SuccessFactors] Employee Central data mashup within case management has been an absolute game changer. Having real-time employee data visible directly in each case means no more switching between systems. Our HR team can make faster, more informed decisions with complete context at their fingertips.” – SAP customer, Manufacturing

From service efficiency to experience intelligence

By uniting AI, data, and experience within the SAP ecosystem, SAP SuccessFactors solutions can turn HR service delivery into a strategic engine that drives business results. Organizations can resolve issues faster, deliver personalized experiences at scale, and gain actionable insights that improve both HR efficiency and employee engagement.

In a world where agility and trust define competitive advantage, HR is no longer a back-office function—it’s a driver of workforce productivity, organizational resilience, and enterprise-wide success.

Learn more about SAP SuccessFactors Enterprise Service Management.

Lara Albert is chief marketing officer for SAP SuccessFactors.

Every Human Rights Day underscores a simple truth: lasting progress for people and their rights starts with each of us and thrives on intention, accountability, and collaboration.

At SAP, we act on our purpose to help the world run better and improve people’s lives through a responsible, people‑first approach to business. 

As a global technology leader, SAP recognizes that its operations, business relationships—including those with suppliers, partners, and customers—and the solutions it delivers can impact people and their rights. This impact can be both positive and negative as well as direct and indirect.

SAP has embedded human rights into its corporate sustainability strategy and in company governance, processes, policies, and engagement across the entire value chain. 

From strategic commitment to culture 

To ensure that SAP’s due diligence remains effective, the Human Rights Office within the Corporate Sustainability organization collaborates with the Human Rights Steering Committee and relevant Board areas. Ultimate oversight rests with the Executive Board of SAP SE.

This governance model provides the foundation for making human rights a shared, cross-functional responsibility rather than a standalone initiative. It translates into collaboration across the business:  the central human rights team working with People & Culture organization to ensure that all employees receive a living wage or to embed safeguards against child and forced labor in recruitment and people management processes.

Beyond formal structures, it is essential that all employees embrace respect for people and their rights as part of SAP’s culture and as a guiding principle in interactions with colleagues, business partners, and the communities in which SAP operates. Tailored capacity-building for critical roles for example in procurement, complemented by awareness sessions for all employees, helps us to get there by strengthening the understanding that day-to-day business activities influence human rights and that any adverse human rights impacts must be proactively identified and addressed.

“What began as policy commitments is becoming part of how we operate: step by step. It takes time and effort to shift from focusing solely on ‘risks to SAP’ to adding the consideration of ‘risks to people’ in our strategic and daily business decisions.”

Stephanie Raabe, Office of Human Rights and AI Ethics, SAP

Respecting human rights across the value chain

Turning commitment into practice requires structure across the business. SAP operates within a global ecosystem—tens of thousands of suppliers, hundreds of thousands of customers, and millions of users—where every connection carries both opportunity and responsibility.

To meet this responsibility, SAP runs a human rights due diligence program aligned with the UN Guiding Principles on Business and Human Rights, designed to identify, prevent, mitigate, and remedy potential impacts on people across its operations and relationships. The program’s core components include:

• Ongoing risk assessment to identify and prioritize potential impacts on people
• Preventive and remedial action embedded in policies, business processes, supplier and partner requirements, training, and targeted engagement
• Speak Out at SAP, an independent, multilingual reporting channel available 24/7 to employees and external stakeholders
• Transparent communication through the SAP Integrated Report and, its Modern Slavery Statements, and other channels

Across the value chain, SAP focuses on its:

• Supply chain, setting clear expectations and contractual requirements to uphold human rights and labor standards, applying responsible sourcing practices, and engaging with selected high-risk suppliers regarding living wages.
• Operations, focusing on ensuring non-discrimination, providing an inclusive, safe, and health-promoting workplace, maintaining fair recruitment and employment practices, and safeguarding confidential channels to raise concerns.
• Products and services, advancing ethical AI by applying the SAP Global AI Ethics policy, as well as requiring that every AI use case undergo an AI ethics assessment to help prevent discrimination and ensure alignment with its principles.

“AI unlocks great potential for businesses, governments, and society, but also creates economic, political, and societal challenges depending on how it is used. For that reason, the human rights-centered SAP Global AI Ethics policy sets clear ethical standards for developing and applying AI, ensuring we create human-centered solutions that respect people and augment human capabilities.”

Vikram Nagendra, Office of Human Rights and AI Ethics, SAP

Continuously striving for progress  

Human rights due diligence is a journey of continual improvement. SAP regularly reviews the effectiveness of its human rights due diligence system to assess how well salient impacts are addressed.

While mitigation measures in SAP’s own operations have proven effective so far, these reviews have also highlighted the need to deepen our understanding of supply chain risks and to strengthen actions specifically aimed at addressing them. As a company, we also recognize the need to make our grievance channel more accessible to value chain workers, a challenge currently addressed through a pilot program. 

To remain transparent and accountable, SAP has published a second LkSG human rights-focused supply chain due diligence report, alongside the latest Modern Slavery Reports and Human Rights chapter in the 2024 SAP Integrated Report.

Looking ahead: Human rights as a shared responsibility  

In a rapidly evolving world, new regulations, emerging technologies, and rising societal expectations raise the bar for responsible business. Running an effective and efficient human rights due diligence system helps SAP stay ahead and mitigate legal, operational, and financial risks, while strengthening its reputation and leadership in ethical business practices. This approach builds trust with customers, partners, investors, and other stakeholders.

Most importantly, it empowers SAP to uphold and further human rights, a principle reaffirmed on this day. 

“Human Rights Day 2025 is a moment to celebrate progress, but also to recognize that the journey goes on. With the ambition to foster a just and inclusive economy where people and technology thrive together, SAP will continue to engrain human rights into how we operate and innovate”

Matthias Medert, Global Head of Sustainability, SAP

Paola Eugenio is a member of the Corporate Sustainability team at SAP.

Artificial intelligence (AI) is currently transforming the world of work. Investments are enormous and the technology is evolving rapidly—as we’re currently seeing with agentic AI.

Beyond the technologies being deployed, the ability to use them meaningfully in daily work is becoming central. This is also seen as the major challenge of AI adoption. Developing AI skills has thus become a strategic priority.

For SAP customers and partners, the question is how to upskill their teams effectively. Because without the right skills and abilities, the best software is useless.

Here you’ll find seven tips for developing AI skills specifically for the SAP context.

1. Learn the fundamentals of AI

There are many learning resources for the basics in the form of e-learning courses or webinars. Some are even free, such as many courses from SAP. We’ve compiled key AI learning offerings here: on AI in general, Joule, and SAP Business AI, as well as the important topic of ethics and responsible AI.

2. Self-assessment: Where do I stand?

Everyone should understand the fundamentals of AI; after that, you can deepen your knowledge in targeted areas. The SAP Business AI self assessment can help with this self-reflection. Here you can rate yourself in the areas of awareness, m, knowledge, and application skills. The topic areas include Joule, including copilot and agents; embedded AI; machine learning services on SAP Business Technology Platform; SAP Build and Joule Studio; responsible AI; and implementation of SAP Business AI. First results show that many respondents show a high motivation, while technical application skills still need more improvement. 

3. Deepening by topic and role: Which AI skills are still needed?

Once you’ve assessed yourself as a team or individual, the various SAP learning offerings—information also available here on the SAP AI Training page—can help you create your own learning plan. Looking at the relevant topic areas, your own role, and preferred learning formats makes orientation and selection easier.

4. Set learning goals and document successes

Many people find it helpful to set concrete learning goals and schedule specific learning times; for example, in their own calendar. Documenting and reflecting on learning progress and “aha” moments also helps you and others, whether through blogs on SAP Community, a personal learning journal in digital notes, or simply verbally within your team. AI certification like for generatice AI developers might also be a more formal way to check and document your skills.

5. Learn from and with others

In peer learning, you learn through barcamps, workshops, discussion rounds, communities, study groups, networking meetups, or promptathons, a type of hackathon where small groups solve challenges from their daily work using AI tools. Along with SAP, companies like Deutsche Telekom and Continental are already using this format.

Learning through exchange in communities—such as the SAP Community on SAP Business AI with its many blogs and discussions—is another format for learning with peers. SAP Learning Hub also offers numerous AI live sessions led by SAP experts where you can ask questions.

6. Learn through experience and doing

With such generic technologies as AI, it’s important for everyone to explore for themselves where AI can help them and to try things hands-on. Whether in learning projects where you experiment with and reflect on new AI tools, or in team workshops. For workshops, the SAP AppHaus innovation toolkit with templates can help—including for Joule agent discovery, AI agent design, SAP Business AI design, and SAP Business AI exploration. Discovery and exploration should happen at the strategic level, but it’s also very helpful at the team level. The practice systems in SAP Learning Hub can also assist with hands-on practice as you see Joule and embedded AI features in many training systems.

7. Regularly review and update your AI skills: How can I keep up to date?

The field of AI is evolving rapidly, so regular learning, updating, and trying out new tools is essential. Podcasts, the resources mentioned in this article, SAP’s AI newsletter, and the diverse array of SAP events can help with this. Or why not build your own news-update agent for your own context?

Summary and outlook

AI learning in the SAP ecosystem is a business-critical, continuous task. You only understand AI by applying it and actively engaging with it. Additionally, it’s important to adapt to these new technologies—or even to completely rethink tasks and processes. Complete a self-assessment, create a learning plan by yourself and with your peers, and book the learning offerings relevant to you today.

Thomas Jenewein is a business development manager at SAP.

During this holiday season, 58% of Gen Z and millennials say they would trust an AI agent to compare prices and recommend the best option. This marks the beginning of a monumental shift in how consumers shop and a new challenge for retailers in creating customer loyalty.

Seismic shifts are not new for retailers—back in 1999, e-commerce was still an afterthought. By 2000, everything changed as retailers went all-in on digital.

In 2025, we are living in yet another pivotal year. This holiday season might feel familiar as you scroll through deals, compare brands, and race to beat shipping deadlines. But beneath the surface, something far more transformative is happening. The year 2025 will likely be the last consumers shop as they do now.  

Agentic AI is reshaping commerce by making shopping faster, smarter, and effortless. Discovery is moving from people browsing their favorite brands to intelligent orchestration. Instead of opening 10 tabs to hunt for the right deal, shoppers will simply ask: “Find me the highest rated black, puffy winter coat, size 10, under $200 that ships in two days.”

The agent will handle the rest—scanning thousands of options, validating reviews, confirming delivery timelines, even factoring in loyalty perks. That future isn’t tomorrow; it’s already here, and by next holiday season, most shopping journeys will begin, evolve, or end with AI agents.

While this type of shopping creates convenience for shoppers, it creates a challenge for retailers that have focused on brand campaigns and poured millions of dollars into advertising to be the “brand of choice” in the discovery process. Decades of investment into SEO, paid traffic, and brand recognition are losing their edge. While not abandoning these strategies entirely, they must evolve for the AI-first world.

However, there is something that hasn’t changed over the course of decades: the need to create loyal customers who make repeat purchases and give the greatest share of their wallets. This, too, is more challenging than ever. In fact, 72% of consumers report that this holiday season they will only stay loyal to brands that consistently meet their needs in the moment.

Creating customer loyalty in the age of agentic commerce means conquering two critical fronts:

• Optimizing for discoverability: Agents will favor retailers that make buying seamless.
• Creating customer loyalty post-purchase: With discovery being augmented by AI agents, humans will now give their ongoing loyalty based on post-purchase experiences. On-time delivery, easy returns, and rewards that feel personal are the new battleground for brand equity.  And with agents learning from human behavior, exceeding shopper expectations post-purchase can ultimately impact a brand’s likelihood of being recommended in the discovery phase.

The question remains: how do we move from esoteric AI conversations to practical strategies?

Discovery and loyalty: How to win in the age of agentic AI

• Make your catalog agent-ready: Treat AI as a new kind of shopper. Ensure product feeds are rich, structured, and machine-readable, complete with attributes, use-case-driven descriptions, real-time pricing, and accurate inventory. Clean, structured product data is now the foundation of intelligent discovery.
• Create solutions, not just SKUs: AI-driven traffic behaves differently. Design bundles, add-ons, and value stacks that solve specific problems and allow agents to match shoppers with outcomes, not just product lists.
• Build trustworthy, accessible information: Operationalize trust by surfacing verified reviews, transparent pricing, sustainability details, and clear return policies. Make this data accessible through well-structured APIs, not scraping, so agents and humans see the same reliable truth.
• Let prediction power personalization: Use unified data and AI to predict what customers want before they act, enabling real-time next-best-actions across email, SMS, push, in-app, and other emerging channels. This predictive intelligence turns fragmented campaigns into connected, personalized experiences that deliver higher engagement and revenue.
• Make loyalty the thread that ties every experience together: Loyalty is no longer a program. It’s a relationship. Use every interaction to tailor meaningful, emotional moments that adapt, remember, and feel consistent across channels in order to help convert agent-driven traffic. Then, use personalized exclusives and perks to foster high-value relationships with those new customers.
• Deliver on your promises, every time: Eighty-eight percent of customers leave a brand after one bad experience. That’s why operational reliability is the new loyalty. Bring order, inventory, payments, and fulfillment into alignment, so customers receive what they were promised, when they were promised. Loyalty now begins at checkout.
• Prepare for the new return economy: Agent-driven buying makes it easy for consumers to purchase first and decide later. Set clear limits to protect margins and reduce friction in the returns journey because a seamless return can build more loyalty than the purchase itself.

SAP is already helping brands prepare for this future with AI-enabled technologies across commerce, loyalty, order management, and customer engagement.

A brand already building for the future

Global sports brand Mizuno offers a glimpse ahead. Historically reliant on seasonal campaigns, Mizuno wanted a more sustainable way to engage its diverse customer base across 10 product categories and multiple channels. Mizuno unified its customer data and used AI to create personalized journeys, turning one-off interactions into long-term relationships.

The results speak for themselves:

• 52% year-over-year (YoY) increase in active customers
• 62% increase in revenue from premium customers
• 35% increase in customer win-backs
• 33% increase in the number of orders

SAP: A partner built for scale, stability, and growth

As customer behavior evolves and AI reshapes what’s possible, one thing remains constant: SAP’s commitment to helping brands win their biggest commercial moments. This year’s holiday results make that clearer than ever. We’re not just helping brands plan for peak season—we’re helping them execute it with precision, intelligence, and confidence.

Nearly 20% YoY growth in total messages sent underscores the trust brands place in SAP Emarsys to deliver at scale. Mobile and emerging channels surged—in-app (+61%), SMS (+32%), push (+27%), and inbox (+91%) all saw significant YoY gains—as brands met customers exactly where they were browsing and buying. Omnichannel maturity accelerated with brands using a richer mix of channels to create connected, high-value experiences across every stage of the shopping journey. And with 100% uptime and flawless reliability, teams executed independently and confidently, even during their highest-volume moments.

Paired with exceptional commerce performance, the story becomes even more compelling: brands used more intelligent engagement to guide shoppers toward higher-value purchases (+18% YoY average order value) and ultimately drove substantial YoY revenue growth (+40% gross merchandise value)—all powered by a CX portfolio that delivered uninterrupted performance with 100% uptime through the holiday shopping rush, ensuring we’re here for our customers when it matters most.

This is what partnership looks like: scale, intelligence, reliability, and results so brands can focus on creating exceptional customer experiences, not managing technology.

Looking ahead

The year 2025 will be remembered as the last holiday season where brand mattered more than the overall experience.

This year, 39% of shoppers report a positive impact of AI on their retail experience and 48% of shoppers would support brands bringing more AI into their buying experience. This sets the stage for growth in 2026 as AI agents deliver relevance, trust, and immediacy, making shopping simpler, smarter, and more satisfying for people everywhere.

The brands that win won’t be the ones shouting the loudest. They’ll be the ones using SAP to be most discoverable, dependable, and unforgettable.

By anticipating needs and creating better, personalized journeys, AI will enhance every stage of commerce. And SAP is here to make that future happen.

Balaji Balasubramanian is president and chief product officer for SAP Customer Experience.

We’re witnessing the AI revolution in customer support as it happens.

From decades of customer support defined by reaction to calls, tickets, or queues, to the evolution of proactive support with pre-AI digital platforms, to the current AI-powered ecosystem that is redefining how support teams strategize, operate, and deliver resolutions. AI-enabled support anticipates needs, predicts failures, and delivers instant, seamless resolutions at scale.

And most importantly, this shift is as transformational as it is technological.

Keeping pace with transformation

As customers navigate complex and ambitious transformation projects, whether it’s moving to the cloud, scaling AI, or modernizing complex operations, there is always a quiet mandate: systems supporting critical business processes must run smoothly because the costs of downtimes have never been higher.

For businesses, uninterrupted operations are non-negotiable. SAP’s AI-driven support can anticipate issues before they arise, helping to ensure critical processes run smoothly, even during high-volume peak events. SAP uses SAP Business AI to help prevent issues proactively, working to ensure a smooth experience by avoiding system outages, platform scalability issues, data overloads, or service overloads. During the peak sales event of Cyber Week 2024, SAP achieved 100% uptime for SAP Commerce Cloud customers. As the Cyber Week 2025 numbers come in, we already have delivered 100% uptime and improved GMV for global sales events like Singles Day (GMV reached €7,108.72M, or +180.2% YoY, with 6,315.99K orders, or +46.4% YoY) and El Buen Fin (GMV hit €12,341.70M, or +13.18% YoY, and 10,385.74K orders, or +32.24% YoY).

Scaling self-service with AI

Structured knowledge and curated content enable SAP to build AI and AI agents with high confidence levels. Today, over 82% of customer issues are addressed via self-service. This allows users to get instant resolution to issues or bridge knowledge gaps they face during the use, implementation, and continuous improvement of SAP’s solutions.

AI in instant response and resolution

When it comes to delivering instant response and resolution in customer support, the impact of AI-integrated services is remarkable. When SAP’s Auto Response Agent is highly confident of the solution, based on the underlying data and knowledge, it can deliver highly relevant solutions that can save customers significant time and effort. Additionally, the first contact resolution rate for cases answered automatically by the agent is at par with what human-human support interactions achieve.

Supporting SAP Business AI

SAP Business AI supportability is all about making AI real for customers through the right systems that drive successful adoption. As SAP delivers AI capabilities across its portfolio, we enable customers to have the right support when they encounter issues in early deployment.

As customers scale AI across their organizations, we have concrete processes and tools to help support them, so they can deploy new AI with the utmost confidence. For example, the Incident Solution Matching service is integrated with SAP Joule for Consultants, allowing efficient support information retrieval and helping to eliminate the hassle of searching through vast amounts of SAP documentation.

Empowering support engineers with AI

AI is not just transforming customer outcomes, it’s also transforming how our engineers and experts deliver precision and speed, freeing them from logistical tasks so they can focus on support requests that need specialized attention. Thanks to SAP’s AI-integrated self-service offerings, we’re able to instantly resolve customer issues four out of the five times they come to us.

AI-powered solution recommendations in self-service can eliminate the need for at least 10% of the cases being created. This is a big win for human-generated knowledge being delivered by AI-generated tools. Every third case gets submitted with an AI-recommended product component for optimal routing and faster processing.

In SAP’s multi-location, multilingual, global setup, standardized communication is key. Around 10% of responses by support engineers take advantage of SAP’s AI-assisted language optimization services.

There’s more. We have agentic case resolution, AI-assisted creation of SAP Knowledge Base Articles, and automatic error categorization, covering use cases that help our engineers deliver their best work with greater accuracy and higher quality.

And, of course, SAP runs its own products and solutions, serving as a first reference for our customers. As Dr. Benjamin Blau, SAP’s Chief Process and Information Officer, puts it: “This is ‘SAP runs SAP’ in action. As customer zero, we validate every AI innovation in real-world complexity before it reaches you. We’ve architected this multi-agent AI on our own SAP Business Technology Platform, including the SAP AI Core foundation, and our service and support data lake. Agentic case resolution is a blueprint for enterprise-grade, responsible AI, proving the power and maturity of the SAP Business AI portfolio, empowering customers with faster resolutions for an elevated experience.”

Will AI replace support teams?

Short answer: No.

To elaborate, let’s take the example of an AI agent that automatically responds to customers. SAP’s instant response and resolution are only activated when the system is very confident with its response. Our commitment to the relevant, reliable, and responsible use of AI helps ensure that there’s no experimentation with customer cases that deserve hands-on attention from engineers and experts. The legacy of trust that SAP has earned over 50 years of industry leadership, which is also trusted by 90% of Fortune 500 companies, drives this rigor applied to AI.

What does this mean for our engineers? Any move to augment our work with AI is not about replacing people. It’s about freeing time, energy, and creative space to focus on high-impact tasks that need critical thinking and human insight. AI amplifies human expertise. Customers benefit from this blend of machine intelligence and human insight, ensuring every solution is relevant and responsible.

It’s also important to highlight that SAP is a growth company. The use of technology helps us deliver what customers expect from support teams and build ongoing knowledge that feeds AI systems for intelligent decision-making, also meeting the future demands of AI-augmented support.

Yes, the world is witnessing role reductions across the industry with the adoption of AI in business workflows, but we also see the emergence of critical new roles that help us navigate the current reality. How many of us had heard of AI trainers or carbon accountants 15 years ago?

These are exciting times for innovation. SAP’s partnerships, such as our collaboration with Databricks and Snowflake, empower developers to turn business data and AI into real business outcomes.

We’re truly at the crossroads of innovation and transformative tools that can turn imagination into impact. SAP‘s Chief Technology Officer, Philipp Herzig, summarizes it perfectly: “AI is transforming business at every level, but it’s people who turn transformation into progress. With SAP Business AI, we’re combining the best of human ingenuity and machine intelligence to deliver impact that matters.”

Stefan Steinle is executive vice president and head of Customer Support & Cloud Lifecycle Management at SAP.